Extract Spatial Distribution of a Specific Gas from Mixed Gas Data Measured by the LSPR Gas Sensor

Zheng, Xiaofan, Matsuoka, Masato, Hayashi, Kenshi, Tomiura, Yoichi

Visualizing invisible gas molecules can be a great help to our lives. At present, gas sensors can already visualize the spatial distribution of gas mixture, however, the visualization of a specific gas requires further analysis of the measurement data. In this study, matrix decomposition is used to analyze the measurement data of localized surface plasmon resonance (LSPR) gas sensor. To satisfy the linear relationship between the concentration of gas and the output of the device required for applying matrix decomposition, we formulated a procedure for processing the measurement data instead of using them directly. To obtain the diffusion trace of a specific gas, we designed a method to obtain the characteristic output of the specific gas, then by using the characteristic output as the known information, the corresponding diffusion trace can be estimated better through the matrix decomposition algorithm. We used the designed method to analyze the measurement data, and the results show that our method can obtain the spatial distribution of some gas.

Extract Spatial Distribution of a Specific Gas from Mixed Gas Data Measured by the LSPR Gas Sensor

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